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The paper presents a novel segmentation approach to extract moving objects in the H.264 compressed domain. In the proposed method, some H.264 video coding information besides motion vector is used to segment moving object more accurately. Firstly, motion vector is refined by the motion relativity in space and time. Secondly, a coarse segmentation is gotten through motion vector difference between...
In this paper, a novel approach is proposed to estimate camera motion and segment moving objects from compressed video streams, aiming to detect semantic events in video clips. Simultaneously using the motion vectors and DC components of MPEG macroblocks (MB), the camera motion type and motion parameters of each frame are estimated with simplified models. Then the segmentation of moving objects is...
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